For testing, we regarded all unrated items as candidates. Some previous studies [1]}, [2]}, [3]} employed a sampling-based evaluation that randomly chose 100 items out of all unrated items for efficient evaluation. As our evaluation considered all unrated items as test items, we believe that it provides more realistic use cases.
